Week 5 Report

Instructions

Download GAD.xlsx data set here. It shows graduate program admission decisions (Yes: 1 and No: 2), GRE score and undergraduate GPA for twenty-five students.

Tasks:

• Examine if the given data is suitable for the application of linear discriminant analysis.
• Create a linear discriminant function predicting admission decisions.
• Comment on the classification accuracy.
• Predict the admission decision given GRE score = 690 and GPA = 3.2.
• Perform logistic regression analysis for the data.
• Compare the classification accuracies of both methods.

Submission Details:

• Submit a 3–4 page Microsoft Word document, using APA style.
• The relevant Minitab output should be copied to this document.
• Name your document BUS7205_W5_Project_LastName_FirstInitial.doc.